Lita Yang
Lita Yang
Verified email at alumni.stanford.edu
Title
Cited by
Cited by
Year
An Always-On 3.8 J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS
D Bankman, L Yang, B Moons, M Verhelst, B Murmann
IEEE Journal of Solid-State Circuits 54 (1), 158-172, 2018
1212018
Silicon Integrated 280 GHz Imaging Chipset With 44 SiGe Receiver Array and CMOS Source
K Sengupta, D Seo, L Yang, A Hajimiri
IEEE Transactions on Terahertz Science and Technology 5 (3), 427-437, 2015
582015
Mixed-signal circuits for embedded machine-learning applications
B Murmann, D Bankman, E Chai, D Miyashita, L Yang
2015 49th Asilomar conference on signals, systems and computers, 1341-1345, 2015
422015
BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS
B Moons, D Bankman, L Yang, B Murmann, M Verhelst
2018 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2018
362018
SRAM voltage scaling for energy-efficient convolutional neural networks
L Yang, B Murmann
2017 18th International Symposium on Quality Electronic Design (ISQED), 7-12, 2017
322017
Approximate SRAM for energy-efficient, privacy-preserving convolutional neural networks
L Yang, B Murmann
2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 689-694, 2017
182017
Bit error tolerance of a CIFAR-10 binarized convolutional neural network processor
L Yang, D Bankman, B Moons, M Verhelst, B Murmann
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
122018
Cognitive computation and communication: A complement solution to cloud for IoT
N Nguyen-Thanh, L Yang, DHN Nguyen, C Jabbour, B Murmann
2016 International Conference on Advanced Technologies for Communications …, 2016
62016
TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs
G Hills, D Bankman, B Moons, L Yang, J Hillard, A Kahng, R Park, ...
Proceedings of the 55th Annual Design Automation Conference, 1-10, 2018
52018
Low Level Radiation on Human Health
L Yang
Physics, 0
1
Approximate Memory for Energy-Efficient Machine Learning
L Yang
Stanford University, 2018
2018
Electrical Interconnect Energy Overhead
L Yang
Growth, 2015
2015
On Stochastic Optimization Techniques
B Jun, L Yang, Q Liu
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Articles 1–13